Midjourney Chinese Aesthetics LoRA | MJ中式美学

5000 步的 LoRA 在面部细节处理上表现更好，人物五官通常会更加精致、清晰。不过，它也更容易出现一定程度的同质化，例如不同角色之间可能出现相似的脸型或五官特征。

The 5000-step LoRA generally performs better in terms of facial detail, producing more refined and well-defined facial features. However, it is also slightly more prone to homogenization, which may cause different characters to share similar facial structures or features.

9500 步的 LoRA 对整体画风的学习更加完整，能够更充分地还原这一风格的光影、服饰、材质与整体审美。同时，相比 5000 步版本，它能够在一定程度上减少角色之间的“撞脸”现象，人物差异性会更好。

The 9500-step LoRA learns the overall visual style more completely, with stronger reproduction of the lighting, clothing, materials, and overall aesthetic. Compared with the 5000-step version, it also helps reduce the chance of different characters looking too similar, resulting in better facial diversity.

这是一个偏向 中式审美与写实表现 的风格 LoRA。数据集主要来源于我使用 MidJourney V8.2 生成的图片，整体侧重于东方人物审美、古风服饰、精致妆造、材质表现与写实光影。

除了中式古风题材之外，这个 LoRA 对其他文化审美、服饰风格以及不同主题也具有不错的兼容性，欢迎尝试不同的提示词、角色与风格组合，探索更多可能性。

This is a style LoRA focused on Chinese-inspired aesthetics and realistic visual rendering. The dataset primarily consists of images generated by me using MidJourney V8.2, with an emphasis on refined Eastern character aesthetics, classical-inspired clothing, elaborate styling, detailed materials, and realistic lighting.

Although the LoRA is primarily designed around Chinese-inspired aesthetics, it also offers good compatibility with other cultural aesthetics, clothing styles, and visual themes. Feel free to experiment with different prompts, characters, and style combinations to explore its versatility.

触发词：MJCN_Style
Trigger word: MJCN_Style

Krea2

推荐 LoRA 强度：1
Recommended LoRA weight: 1

推荐步数：8–10
Recommended sampling steps: 8–10

推荐 CFG：1
Recommended CFG scale: 1

推荐采样器：Euler A
Recommended sampler: Euler A

如果在使用过程中遇到任何问题，欢迎随时向我反馈。你的反馈也会帮助我继续优化后续版本。非常感谢大家的支持。

If you encounter any issues while using this LoRA, feel free to reach out and let me know. Your feedback will also help me improve future versions. Thank you very much for your support.